Testing for the implicit weights of the dimensions of the Human Development Index using stochastic dominance

被引：22
|
作者：
Pinar, Mehmet [1 ]
Stengos, Thanasis [2 ]
Topaloglou, Nikolas [3 ]
机构：
[1] Edge Hill Univ, Business Sch, St Helens Rd, Ormskirk, Lancs, England
[2] Univ Guelph, Dept Econ, Guelph, ON, Canada
[3] Dept Int & European Econ Studies, 76 Patision St, GR-10434 Athens, Greece
来源：
ECONOMICS LETTERS | 2017年 / 161卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Well-being; Human development; Composite indices; Nonparametric stochastic dominance;
D O I：
10.1016/j.econlet.2017.09.023
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
In 2010, United Nations' Development Programme changed the indicators used to obtain education and income indices in the Human Development Index (HDI). In this paper, we use the Stochastic Dominance Efficiency methodology to evaluate the implicit weights of the dimensions used in the new measurement of the HDI. We find, contrary to the earlier literature, that the implicit weight attached to the education dimension is relatively low suggesting that it is relatively harder to achieve high scores in this dimension compared to other dimensions. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：38 / 42
页数：5
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